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Neuromorphic Computing for Scientific Applications

Robert Patton, Prasanna Date, Shruti Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, and Catherine D. Schuman

February, 2023

2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA)

https://ieeexplore.ieee.org/xpl/conhome/10029342/proceeding

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Abstract

Neuromorphic computing technology continues to make strides in the development of new algorithms, devices, and materials. In addition, applications have begun to emerge where neuromorphic computing shows promising results. However, numerous barriers to further development and application remain. In this work, we identify several science areas where neuromorphic computing can either make an immediate impact (within 1 to 3 years) or the societal impact would be extremely high if the technological barriers can be addressed. We identify both opportunities and hurdles to the development of neuromorphic computing technology for these areas. Finally, we discuss future directions that need to be addressed to expand both the development and application of neuromorphic computing.

Citation Information

Text


author      R. Patton and P. Date and S. Kulkarni and C. Gunaratne and S. Lim and G. Cong and S. R. Young and M. Coletti and T. E. Potok and C. D. Schuman
title       Neuromorphic Computing for Scientific Applications
booktitle   2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA)
publisher   IEEE
doi         10.1109/RSDHA56811.2022.00008
url         https://ieeexplore.ieee.org/abstract/document/10029974
year        2022

Bibtex


@INPROCEEDINGS{pdk:22:ncs,
    author = "R. Patton and P. Date and S. Kulkarni and C. Gunaratne and S. Lim and G. Cong and S. R. Young and M. Coletti and T. E. Potok and C. D. Schuman",
    title = "Neuromorphic Computing for Scientific Applications",
    booktitle = "2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA)",
    publisher = "IEEE",
    doi = "10.1109/RSDHA56811.2022.00008",
    url = "https://ieeexplore.ieee.org/abstract/document/10029974",
    year = "2022"
}